
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "90"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 104 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 100 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.575197	-0.747344	7.652265	-0.690626	2.001970	-0.782844	6.607558	-1.045254	0.8049	0.8078	0.2398	16.801823	14.452430
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	264.012637	275.422231	inf	inf	36.301272	61.904192	147.690363	313.538153	nan	nan	nan	0.000000	0.000000
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.625420	-0.929755	-0.084681	1.613472	0.065801	-0.331110	1.901987	-0.098203	0.0341	0.0276	0.0015	nan	nan
2459591	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.061322	0.798450	13.246690	-0.806206	0.504166	1.427583	1.711153	0.941252	0.6796	0.6888	0.3658	11.024950	11.098414
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.809488	1.118430	11.001126	-0.872321	4.040937	6.911855	5.118423	4.971673	0.6831	0.6882	0.3594	8.135790	7.571823
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.231298	0.977220	9.271667	-0.542722	4.840349	1.314659	4.907893	-0.177252	0.7253	0.7195	0.2819	7.663293	7.099092
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	198.919532	221.792216	inf	inf	24.375267	26.930439	69.307007	18.223778	nan	nan	nan	0.000000	0.000000
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	3.229804	1.137178	18.995950	-0.547329	0.316770	0.049400	2.805430	1.183448	nan	nan	nan	9.258391	9.326688
2459586	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.755065	0.424101	7.558139	1.011535	8.836990	1.499018	7.872007	1.046958	0.6831	0.6880	0.3454	4.821824	5.142088
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	159.049389	163.014416	inf	inf	28.614838	15.238549	700.172138	1127.265343	nan	nan	nan	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	17.769253	16.565057	10.303494	3.188164	2.450502	3.205814	14.717736	14.683777	0.6756	0.6837	0.3731	1.767722	2.133085
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.633060	0.928431	2.977604	1.241885	2.470770	0.823287	4.429497	4.290337	0.6856	0.6930	0.3743	0.000000	0.000000
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.925156	0.730811	2.293373	1.261429	2.292367	1.437940	2.842840	2.597608	0.6856	0.6891	0.3766	4.073967	3.784775
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.945618	1.809031	2.933656	1.027125	2.592850	2.448649	4.240559	3.694057	0.6861	0.6901	0.3732	4.825271	3.955714
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.498544	0.892974	2.274055	1.237950	3.443277	1.252867	2.940043	2.908241	0.6911	0.6947	0.3704	3.168457	2.994284
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.549629	1.708146	3.083699	1.763301	2.757678	1.901115	9.032888	8.271433	0.6868	0.6902	0.3697	6.761288	6.642546
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.933597	2.805197	2.590027	0.972103	2.328483	1.863061	0.715497	0.354495	0.6896	0.6892	0.3720	5.158944	4.263832
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.024861	0.812196	1.899751	1.259972	3.084198	-0.573107	0.933300	0.012754	0.7101	0.7134	0.3745	6.069153	5.294644
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.942096	0.054495	2.069061	0.946331	2.250966	0.550208	2.840029	0.984635	0.7747	0.7755	0.3133	10.875109	10.564405
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.932124	1.546732	1.907925	0.942581	2.558344	5.574196	0.772885	2.371787	0.7149	0.7172	0.3604	5.718089	5.324747
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.039775	-0.200725	3.794829	2.005803	1.588316	-0.191045	0.843416	-0.292409	0.7047	0.7130	0.3725	7.296978	5.915451
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.277956	5.279761	1.708082	0.992020	1.357362	2.517481	2.408751	5.731071	0.7028	0.6994	0.3756	5.365342	4.531190
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.689633	-0.770758	-0.005501	0.583715	1.402785	0.495404	2.103390	-0.697496	0.0328	0.0289	0.0012	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.478693	7.838997	3.153517	1.629661	0.849073	2.531829	2.257321	1.448815	0.0598	0.0679	0.0059	1.222519	1.221606
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	4299.241007	4299.241007	4031.441662	4031.441662	-0.749395	-0.749395	-1.917447	-1.917447	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.753775	5.911692	3.000373	1.816914	0.993815	-1.309050	1.525344	1.153614	0.7171	0.6940	0.3853	3.475423	2.777491
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.510824	6.754597	6.778595	2.930548	1.453184	2.286774	1.415591	1.242698	0.7041	0.6868	0.3837	3.458258	2.885930
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.716713	3.836952	1.692008	0.904101	1.191207	-0.564508	1.017054	0.634500	0.7139	0.7010	0.3714	4.274142	3.700122
2459561	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.271807	4.708162	1.738811	0.645821	0.611532	-0.969738	1.389279	0.889359	0.7162	0.7041	0.3720	4.665140	4.169557
2459560	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.308530	4.216577	1.845246	0.651049	1.610461	-0.823438	1.518004	2.281507	0.7031	0.6882	0.3892	3.421567	3.108962
2459559	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.262516	5.159892	1.635527	0.723311	1.705592	-0.760464	1.339728	1.060865	0.7141	0.6964	0.3723	3.873525	3.104169
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.441056	7.654628	3.212295	1.185431	1.400033	1.702129	1.974349	2.084954	0.7167	0.6945	0.3798	4.612027	3.870125
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0326	0.0276	0.0015	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.683451	7.369275	3.042400	1.427780	2.668878	0.526054	3.922187	6.756592	0.7151	0.6964	0.3774	7.374741	6.560433
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7121	0.6926	0.3928	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7174	0.6993	0.3868	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.738148	1.115118	4.208440	1.330567	6.059638	-0.211994	1.224624	-0.150548	0.7188	0.7190	0.3866	3.507408	3.093133
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459550	RF_maintenance	-	97.53%	97.53%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0446	0.0423	0.0011	nan	nan
2459549	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.000191	0.092742	3.559008	1.227454	3.070043	-0.066696	1.702037	1.172438	0.7134	0.7193	0.3884	5.087001	4.630401
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.778802	7.983162	7.868945	2.380862	-0.264245	-0.133199	6.036698	11.194190	0.7705	0.7546	0.3335	6.688185	5.842525
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.783307	1.258685	5.342728	2.776589	2.315365	1.637026	3.347648	8.301332	0.7481	0.7420	0.4037	5.585895	5.294777
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.576474	-0.345065	1.845318	0.592224	1.413374	1.632047	1.679035	1.289335	0.7908	0.7691	0.3449	4.207438	3.587238
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.432145	-0.789222	1.949511	0.418587	0.996784	1.194744	1.091583	-0.359450	0.7771	0.7607	0.3545	4.759338	4.128200
2459533	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.435306	-0.349035	3.504160	0.672704	2.523237	-0.338096	1.907338	1.053147	0.7338	0.7238	0.3905	3.883848	3.442368
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.181071	-0.075403	4.645939	1.601225	2.350527	0.681258	0.950827	1.263881	0.7305	0.7177	0.3945	4.816675	4.317618
2459530	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.754997	1.648476	1.597319	0.467863	1.303714	3.055643	3.999746	12.334671	0.7532	0.7336	0.3871	4.344385	3.870209
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.183002	-0.566035	4.721687	0.773232	2.622882	0.083697	1.123441	0.179063	0.9157	0.9463	0.2743	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	1.540764	-0.237453	5.170596	1.163348	-0.121337	0.948598	1.801147	0.655796	nan	nan	nan	6.630436	5.516102
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.628964	1.815385	4.382287	1.210484	0.323744	3.751604	3.567692	6.606344	0.7022	0.7125	0.3156	4.708699	5.148863
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.583985	-0.706583	-0.330636	0.243581	0.209042	-1.440402	2.819242	-0.722733	0.0383	0.0273	0.0024	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.085802	0.182311	4.208589	0.817759	2.262384	-0.147091	3.526395	0.009766	0.9252	0.9560	0.1549	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.777689	3.212105	2.808702	1.977592	2.094388	0.656492	6.583262	6.555453	0.8955	0.8669	0.1808	15.168199	13.344933
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.326274	1.042223	3.996287	1.899430	4.978362	2.213838	5.330516	2.294605	0.8874	0.8751	0.4257	0.000000	0.000000
2459501	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.073591	1.867686	3.583485	0.434787	1.639296	0.320400	1.878792	0.808406	0.8358	0.8715	0.3639	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.431941	0.599236	4.384967	0.053427	4.404731	0.158067	0.714878	-0.603006	0.8667	0.8890	0.3729	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.797577	0.523876	-0.044173	0.342691	5.846088	0.941753	25.140227	2.252226	0.8548	0.9315	0.2170	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.407726	0.328415	3.883008	0.773592	3.889348	0.105977	2.449847	-0.001340	0.8765	0.8926	0.3994	0.000000	0.000000
2459497	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	3.221813	1.182668	3.657658	0.931234	3.200569	0.031321	1.747472	1.176988	0.0853	0.0893	0.0081	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	4.032569	0.861455	3.993649	1.016944	3.838537	0.396223	0.942306	0.285824	0.0664	0.0676	0.0057	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	3.500013	0.478755	3.892815	0.779264	3.527834	0.121810	1.077385	-0.062430	0.0709	0.0856	0.0082	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	3.901226	0.954695	4.600234	0.547977	3.687210	0.127279	5.742442	-0.275997	0.0580	0.0851	0.0049	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.004535	10.977748	2.066526	-0.152707	1.613104	1.098108	9.670536	3.383330	0.0867	0.1143	0.0079	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.525730	10.466589	10.344945	0.099957	26.219372	1.649470	28.436640	7.541897	0.0556	0.1199	0.0089	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.729304	11.264307	1.161619	-0.032951	-0.386276	0.316445	4.910140	3.197913	0.1007	0.1175	0.0124	0.000000	0.000000
2459489	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	3.180116	10.122461	2.066505	0.198355	0.150344	0.579685	3.965174	3.728898	0.1038	0.1004	0.0107	0.000000	0.000000
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	3.131926	9.965077	2.800851	0.193545	0.686709	1.922514	8.764476	8.941666	0.0908	0.1201	0.0104	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 90 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 90, Node 9:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 90: 2459628

Antenna 90: 2459627

Antenna 90: 2459626

Antenna 90: 2459625

Antenna 90: 2459624

Antenna 90: 2459623

Antenna 90: 2459622

Antenna 90: 2459621

Antenna 90: 2459620

Antenna 90: 2459619

Antenna 90: 2459618

Antenna 90: 2459617

Antenna 90: 2459616

Antenna 90: 2459615

Antenna 90: 2459614

Antenna 90: 2459613

Antenna 90: 2459612

Antenna 90: 2459611

Antenna 90: 2459610

Antenna 90: 2459609

Antenna 90: 2459608

Antenna 90: 2459607

Antenna 90: 2459605

Antenna 90: 2459604

Antenna 90: 2459603

Antenna 90: 2459602

Antenna 90: 2459598

Antenna 90: 2459597

Antenna 90: 2459596

Antenna 90: 2459595

Antenna 90: 2459594

Antenna 90: 2459593

Antenna 90: 2459592

Antenna 90: 2459591

Antenna 90: 2459590

Antenna 90: 2459589

Antenna 90: 2459588

Antenna 90: 2459587

Antenna 90: 2459586

Antenna 90: 2459585

Antenna 90: 2459584

Antenna 90: 2459583

Antenna 90: 2459582

Antenna 90: 2459581

Antenna 90: 2459580

Antenna 90: 2459579

Antenna 90: 2459578

Antenna 90: 2459577

Antenna 90: 2459576

Antenna 90: 2459575

Antenna 90: 2459574

Antenna 90: 2459573

Antenna 90: 2459572

Antenna 90: 2459571

Antenna 90: 2459570

Antenna 90: 2459569

Antenna 90: 2459566

Antenna 90: 2459565

Antenna 90: 2459564

Antenna 90: 2459563

Antenna 90: 2459562

Antenna 90: 2459561

Antenna 90: 2459560

Antenna 90: 2459559

Antenna 90: 2459558

Antenna 90: 2459556

Antenna 90: 2459552

Antenna 90: 2459551

Antenna 90: 2459549

Antenna 90: 2459542

Antenna 90: 2459541

Antenna 90: 2459540

Antenna 90: 2459536

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶